How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf emese-tech/csermely-gguf:# Run inference directly in the terminal:
llama cli -hf emese-tech/csermely-gguf:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf emese-tech/csermely-gguf:# Run inference directly in the terminal:
./llama-cli -hf emese-tech/csermely-gguf:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf emese-tech/csermely-gguf:# Run inference directly in the terminal:
./build/bin/llama-cli -hf emese-tech/csermely-gguf:Use Docker
docker model run hf.co/emese-tech/csermely-gguf:Quick Links
Csermely (GGUF)
GGUF quantized versions of Csermely — a 190M parameter Hungarian language model. Part of the Emese model family.
Compatible with llama.cpp, Ollama, LM Studio, and other GGUF-compatible runtimes.
For the full-precision HuggingFace version, see emese-tech/csermely.
Available Quantizations
| File | Quantization | Size | Description |
|---|---|---|---|
csermely-f16.gguf |
F16 | 418 MB | Full float16, reference quality |
csermely-q8_0.gguf |
Q8_0 | 223 MB | 8-bit, near-lossless quality |
csermely-q4_k_m.gguf |
Q4_K_M | 157 MB | 4-bit, good quality/size balance |
Usage
llama.cpp
./llama-cli -m csermely-q8_0.gguf -p "A magyar nyelv" -n 100 --repeat-penalty 1.2 --chat-template none
Ollama
ollama run emese-tech/csermely-gguf
Model Details
| Version | 0.2 |
| Parameters | 190.2M |
| Architecture | LLaMA-style (decoder-only transformer) |
| Context length | 4,096 tokens (YaRN RoPE, 4× factor) |
| Vocabulary | 32,000 (SentencePiece Unigram, Hungarian) |
| License | MIT |
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf emese-tech/csermely-gguf:# Run inference directly in the terminal: llama cli -hf emese-tech/csermely-gguf: